Software Engineer (28559)

Supermicro • San Jose, CA

18d

About The Position

Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. We are seeking a Software Engineer to ensure the reliability, scalability, and performance of cloud-native infrastructure software stacks. You will design, develop, and maintain automated testing frameworks and pipelines for complex cloud environments, including container orchestration, virtualization, and AI/ML workloads. Collaborating with DevOps, platform, and development teams, you will validate integrations across OpenStack, OpenShift, Kubernetes, and related components to support high-performance, production-grade deployments.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related technical field
• 5+ years of experience in software testing, test automation, or DevOps for cloud infrastructure
• Strong programming skills in Python (preferred), Go, or Bash for automation
• Hands-on experience with Kubernetes, OpenShift, or OpenStack in testing or deployment contexts
• Proficiency with CI/CD tools (Jenkins, GitLab CI, etc.) and version control (Git)
• Knowledge of container orchestration, Infrastructure as Code (Terraform, Ansible), and cloud-native practices
• Solid debugging and problem-solving skills for complex distributed systems
• Strong collaboration and communication in cross-functional DevOps teams

Nice To Haves

• Familiarity with AI/ML workflows, distributed systems, or GPU-accelerated environments is a plus

Responsibilities

• Develop and maintain automated test scripts, frameworks, and pipelines using Python, Go, or similar
• Design test plans for functional, integration, performance, and scale testing of cloud infrastructure
• Build and enhance CI/CD pipelines for continuous validation of OpenStack, OpenShift, and Kubernetes components
• Automate testing of AI workflows, including model training, inference, and distributed workloads
• Validate cloud stack integrations, upgrades, and multi-tenant scenarios
• Debug failures, reproduce issues in cloud environments, and drive root-cause resolution
• Improve test coverage, automation efficiency, and reliability metrics for production systems
• Document test strategies, automation tools, and validation results

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees